Exploring the Prevalence of Maltreatment amongst Canadian National Team Athletes
Bibliographic record
Abstract
The purpose of this study was to assess the prevalence of maltreatment amongst National Team athletes in Canada. In total, 1001 male and female National Team athletes participated in this study, including 764 current athletes and 237 athletes who had retired in the last 10 years. Athletes completed an anonymous 127 item online survey consisting of questions on psychological, physical and sexual abuse, neglect, disclosure and reporting of instances of harm, and mental health outcomes. Athletes reported experiencing psychological harm most frequently, followed by neglect, sexual harm and physical harm. Harmful behaviours were enacted most frequently by coaches, followed by peers, high performance directors and sport administrators. The findings revealed significant and positive relationships between all forms of harm (psychological, physical, sexual and neglect) and the negative health outcomes of engaging in self-harming behaviours, disordered eating behaviours/eating disorders, and having suicidal thoughts. Finally, athletes provided recommendations for advancing safe sport.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".